:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dumont, Morgane, Alsaloum, Ahmed, Ernst, Julian, Weymeirsch, Jan, Münnich, Ralf
Format:	Preprint
Published:	2025
Subjects:	Computation Applications
Online Access:	https://arxiv.org/abs/2511.14294
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Longitudinal Health, Income, and Employment Model (LHIEM): a discrete-time microsimulation model for policy analysis
by: Propp, Adrienne M., et al.
Published: (2025)

Multivariate lattice deformation: A spatially explicit framework for assessing crop rotation impacts on soil nutrient dynamics
by: Mandap, Marco
Published: (2026)

Ecient spatial designs for targeted regions or level set detection
by: Coly, Sylvain, et al.
Published: (2024)

Disclosure risk assessment with Bayesian non-parametric hierarchical modelling
by: Battiston, Marco, et al.
Published: (2024)

Prediction-based evaluation of back-four defense with spatial control in soccer
by: Dash, Soujanya, et al.
Published: (2025)

Mixed additive modelling of global alien species co-invasions of plants and insects
by: Boschi, Martina, et al.
Published: (2023)

UQ state-dependent framework for seismic fragility assessment of industrial components
by: Nardin, C., et al.
Published: (2024)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)

Thematic agreement assessment of gridded, multi-modal geospatial datasets of different semantics and spatial granularities
by: Uhl, Johannes H., et al.
Published: (2024)

Branching Fixed Effects: A Proposal for Communicating Uncertainty
by: Kline, Patrick
Published: (2025)

Uncertainty quantification in automated valuation models with spatially weighted conformal prediction
by: Hjort, Anders, et al.
Published: (2023)

On the Impact of Monte Carlo Statistical Uncertainty on Surrogate-based Design Optimization
by: Erdem, Omer F., et al.
Published: (2025)

A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output
by: Gong, Wenlong, et al.
Published: (2025)

Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe
by: Cerqueti, Roy, et al.
Published: (2024)

Traffic noise assessment in urban Bulgaria using explainable machine learning
by: Helbic, Marco, et al.
Published: (2025)

Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
by: Chakraborty, Anirban, et al.
Published: (2024)

Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
by: Cattaneo, Matias D., et al.
Published: (2022)

Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
by: Fadikar, Arindam, et al.
Published: (2024)

CQUESST: A dynamical stochastic framework for predicting soil-carbon sequestration
by: Pagendam, Dan, et al.
Published: (2024)

Is it Cake or is it AI? A Systematic Review of Human Uncertainty in Distinguishing Generative Artificial Intelligence Content
by: Ramos, Mark Louie F.
Published: (2026)

Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis
by: Doumèche, Nathan, et al.
Published: (2023)

Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
by: Hobelsberger, Christian, et al.
Published: (2025)

A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces
by: Eshra, Elsayed, et al.
Published: (2024)

Fitting individual‐based models of spatial population dynamics to long‐term monitoring data
by: Anne‐Kathleen Malchow, et al.
Published: (2024)

Nodal heterogeneity can induce ghost triadic effects in relational event models
by: Juozaitienė, Rūta, et al.
Published: (2022)

Strategic analysis of hydrogen market dynamics across collaboration models
by: Asghari, Mohammad, et al.
Published: (2025)

A dynamic latent space time series model to assess the spread of mumps in England
by: Kaur, Hardeep, et al.
Published: (2024)

Probabilistic Classification and Uncertainty Quantification of Sahara Desert Climate Using Feedforward Neural Networks
by: Tivenan, Stephen, et al.
Published: (2026)

Clinical-ComBAT: a diffusion-weighted MRI harmonization method for clinical applications
by: Girard, Gabriel, et al.
Published: (2025)

Statistical Multicriteria Evaluation of LLM-Generated Text
by: Arias, Esteban Garces, et al.
Published: (2025)

Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI
by: Consagra, William, et al.
Published: (2023)

Surrogate modeling for uncertainty quantification in nonlinear dynamics
by: Marelli, S., et al.
Published: (2025)

Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems
by: Yang, Xiaomi, et al.
Published: (2025)

A Bayesian approach to aggregated chemical exposure assessment
by: Neucker, Sophie Van Den, et al.
Published: (2025)

Distribution-free screening of spatially variable genes in spatial transcriptomics
by: Wang, Changhu, et al.
Published: (2026)

Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification
by: Hui, Long, et al.
Published: (2025)

Sensor Informativeness, Identifiability, and Uncertainty in Bayesian Inverse Problems for Structural Health Monitoring
by: Bakeer, Tammam, et al.
Published: (2025)

Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
by: Yu, Tonghui, et al.
Published: (2026)

Integrated Bayesian non-parametric spatial modeling for cross-sample identification of spatially variable genes
by: Zhou, Meng, et al.
Published: (2025)

Fall and rise of a threatened raptor: Unraveling long‐term population dynamics with spatially explicit integrated models
by: Jaume A. Badia‐Boher, et al.
Published: (2025)